SQL Analyst - INTL India

• Write advanced SQL to validate transformations, joins, aggregations, and business rules across datasets and features.

• Create test plans and acceptance criteria for new data products, features, and model outputs.

Automated Testing & Quality Gates:

• Implement automated data tests (schema, freshness, distribution, reconciliation) using Python and/or data quality frameworks.

• Integrate QA checks into CI/CD pipelines and enforce release quality gates.

Monitoring & Issue Management:

• Set up monitoring for data anomalies and pipeline failures; triage issues and drive root-cause analysis.

• Partner with data engineering and ML Ops to improve observability and reduce recurrence.

Documentation & Governance:

• Document test coverage, known limitations, and lineage; support audits and compliance requirements.

• Promote best practices for data definitions and metric consistency.

• 3-6+ years of experience in SQL engineering, analytics QA, or data quality roles.

• Expert SQL skills including window functions, complex joins, and performance tuning.

• Experience with automated testing (Python/pytest) and data quality approaches.

• Familiarity with lakehouse/warehouse platforms (Azure SQL/Synapse/Databricks/Snowflake).

• Strong problem-solving and communication skills; ability to work across technical and business teams.

Desired Skills:

• Experience with Great Expectations, dbt tests, or similar quality frameworks.

• Knowledge of ML workflows and validation of model outputs (stability, drift, bias indicators).

• Experience building dashboards for data health and QA coverage.